Graph Theory Fundamentals for Computer Science Exam Problems

Solving graph problems accurately requires a strong grasp of foundational graph concepts and systematic path analysis. This course provides a practical, written introduction to directed graphs, adjacency representations, and precise path counting methods used in standardized computer science assessments. What you'll learn: - Understand core graph terminology, including vertices, edges, directed paths, and degree of vertices. - Master systematic path counting techniques for directed acyclic graphs. - Solve complex path problems involving mandatory vertices that must be visited. - Calculate valid paths while handling excluded vertices and restricted routes. - Analyze adjacency matrices and node representations to verify solutions efficiently. Starting with basic definitions and fundamental properties, the content builds up to advanced path-finding strategies and constrained graph analysis. Designed specifically for beginners and students preparing for exam-level computer science problems, no prior advanced math background is required. Start reading to master graph problem-solving step by step.